Data Engineer, Workforce Solutions - Talent Mobility

Amazon is hiring a Data Engineer for Workforce Solutions’ Talent Mobility work. The role builds and operates data pipelines, warehouses, reporting, and analytics solutions that support recruiting and workforce decisions.

Responsibilities

• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions
• Monitor and troubleshoot operational or data issues in the data pipelines
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions
• Develop code based automated data pipelines able to process millions of data points
• Improve database and data warehouse performance by tuning inefficient queries
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems
• Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem

Preferred

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• AWS
• Amazon Redshift
• Amazon S3
• AWS Glue
• Amazon EMR
• Amazon Kinesis
• Amazon Data Firehose
• AWS Lambda
• IAM Roles
• Permissions
• Non-Relational Databases
• Object Storage
• Document Stores
• Key-Value Stores
• Graph Databases
• Column-Family Databases

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance
• Option for Supplemental life plans
• EAP
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Company

• Online retail and cloud computing services
• Seattle, Washington, USA
• https://amazon.com/
• Founded in 1994
• 10001+ employees

Qualifications

• 3+ years of data engineering experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Required skills

• AWS Glue, AWS IAM, AWS Lambda, AWS Redshift, Amazon Data Firehose, Amazon EMR, Amazon Kinesis, Amazon S3, Data Engineering, Data Modeling, Data Warehousing, ETL/ELT, Non-relational Databases, OLAP, SQL

Experience

• 3+ years